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This article is cited in 2 scientific papers (total in 2 papers)
Restoration of the 3D Skull Defect Model Based on Deep Neural Networks
E. N. Pavlovskiy, D. V. Pakulich, S. O. Pospelov
Novosibirsk State University, 1 Pirogov St., Novosibirsk, 630090, Russian Federation
Abstract:
The article is devoted to the creation of a method for automatic modeling of the 3D skull defect. A method based on a deep neural network is proposed, which allows creating with a reasonable accuracy a 3D model of the lost part of the skull, regardless of the localization of the defect.
Keywords:
deep neural networks, 3D, skull, cranioplasty, autoencoder.
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https://www.mathnet.ru/eng/jit37
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